Build content clusters that get AI to cite you
Four purpose-built cluster models – Editorial, SaaS Hub, Agency Authority, and Local Authority – each designed around how AI systems look for expertise in different types of businesses. AuthorityStack picks the model that fits your brand, then researches, writes, and publishes a complete pillar page, 11+ supporting pages, and an AI-powered internal link map – automatically.
AI systems look for different signals depending on what you sell
A generic content cluster treats a SaaS product the same as an agency's service page and the same as a thought-leadership blog – but AI systems don't. When ChatGPT recommends software, it's looking for feature coverage, integration depth, and use-case specificity. When it recommends an agency, it's looking for demonstrated process expertise, vertical experience, and social proof. When it cites an editorial source, it's looking for comprehensiveness, structure, and FAQs.
The four cluster models structure your content the way AI systems expect to find it for each business type. The pillar page shape, the supporting page types, and the internal link architecture are all different – because what makes AI cite a SaaS product is different from what makes it cite a local service business.
Choose the model that fits your business
Each model produces a different pillar page type and a different set of supporting pages – all written, GEO-structured, and published for you automatically.
Editorial Authority Model
Pillar + spokesBuilds the kind of comprehensive, interconnected content that gets cited by AI systems. One long-form pillar page establishes the topic definitively. Supporting pages cover every sub-question, comparison, how-to, and use case – giving AI tools a full web of structured answers to pull from.
Comprehensive, long-form authority guide on the core topic
Definitions, how-tos, comparisons, use cases, FAQs, and alternatives
Auto-resolved links between all cluster pages with anchor text recommendations
Best for
- Blogs and content-led brands
- SaaS companies building topical authority
- Any brand that wants AI to cite them as the definitive source on a subject
Example output
Seed topic: "project management software" → Pillar: The Complete Guide to Project Management Software + 11 supporting pages covering methodology comparisons, team-size use cases, pricing breakdowns, integration guides, and FAQs.
SaaS Product Hub Model
Product hubStructures content the way AI systems expect to find it for software products. The product hub page explains what the product does, who it's for, and how it compares. Supporting pages go deep on specific features, integrations, use cases by team type, and competitive comparisons – the exact content AI tools reference when recommending software.
Comprehensive guide covering what it does, who it's for, and how it compares
Feature pages, integrations, use cases, comparisons, pricing, and help articles
Auto-resolved links between all cluster pages with anchor text recommendations
Best for
- SaaS products and tools
- Platforms with multiple features or integrations
- Software brands that appear in AI comparison queries
Example output
Seed topic: "CRM for startups" → Hub: CRM for Startups: The Complete Guide + supporting pages on team-size use cases, CRM vs spreadsheet comparison, top integrations, pricing tiers, onboarding guide, and feature deep-dives.
Agency Authority Model
Services hubEstablishes service expertise in a way AI systems recognise and cite. The service authority hub positions the agency as the definitive expert on a service area. Supporting pages cover the industries they serve, their process, case study angles, and the questions prospects ask AI before hiring – putting the agency in the conversation at the exact moment buyers are researching.
Definitive guide establishing expertise on this service area
Industry verticals, process pages, case study formats, comparisons, and FAQs
Auto-resolved links between all cluster pages with anchor text recommendations
Best for
- Marketing and digital agencies
- Consultancies and professional services
- Local service businesses building regional authority
Example output
Seed topic: "SEO for ecommerce" → Hub: Ecommerce SEO: A Complete Agency Guide + supporting pages on category page SEO, product schema, Google Shopping feeds, technical audits, and industry-specific FAQs.
Local Authority Hub Model
City hubBuilds geo-targeted content that gets AI systems to cite your business for local queries. The city hub page establishes your authority for '[service] in [city]' searches. Supporting pages cover specific service areas, neighborhoods, local pricing, and trust signals – the exact content AI references when recommending local businesses to nearby customers.
Targets '[service] in [city]' – the primary AI citation target for local queries
Service area pages, local pricing FAQ, neighborhood guides, urgency/near-me pages, and review trust pages
Auto-resolved links between all cluster pages with anchor text recommendations
Best for
- Local service businesses (dentists, plumbers, lawyers, gyms)
- Multi-location businesses building city-by-city authority
- Any brand that wants AI to recommend them when customers search locally
Example output
Seed topic: "dental implants Austin" → Hub: Dental Implants in Austin: What to Expect + supporting pages targeting specific Austin neighborhoods, local pricing guide, emergency dental page, and patient trust page.
Features that work across all four models
Regardless of which model AuthorityStack picks for your brand, every cluster comes with the same set of capabilities for building and measuring AI authority.
AI-powered internal link map
Once a cluster is written, AuthorityStack automatically resolves which pages should link to each other and generates the exact anchor text for each connection. The result is a web of structured internal links that AI systems can follow to build a complete picture of your authority on the topic.
GEO signal overlay per page
Every page in the cluster is checked for GEO signals – whether it already appears in Google AI Overviews, what the AI snippet says, and when it was last checked. This is how AuthorityStack knows which pages are already being surfaced by AI and which need more authority-building work.
Three seed sources
AuthorityStack seeds each cluster from your weakest citation topics (surfaced from scan data), from keyword research results, or from a topic you've flagged as a priority. It picks the model that fits your business type automatically.
Citation-scan seeding
AuthorityStack reads your weakest topic areas from your visibility scans and targets new clusters at the gaps where AI systems aren't mentioning you – so every cluster it writes closes a real visibility gap.
Full articles for every page
Every page in the cluster – the pillar and every supporting page – gets a full GEO-optimised article, written and published automatically, with schema markup and structured content signals built in.
Anchor text recommendations
The link map doesn't just connect pages – it generates the specific anchor text for each link, matched to the keyword and intent of the destination page. This makes internal linking a deliberate authority-building signal, not an afterthought.
GSC organic opportunity overlay
Connect Google Search Console and AuthorityStack gains an organic opportunity filter – clusters that match queries sending real organic traffic but receiving zero or low AI citation coverage are flagged and prioritized automatically.
From your scan data to a published cluster, done for you
AuthorityStack picks the topic and model
AuthorityStack finds seed topics from your weakest citation areas, based on your scan data, and picks the cluster model that fits your business: Editorial for broad topical authority, SaaS Hub for product-led content, Agency Authority for service expertise, or Local Authority for geo-targeted visibility.
AuthorityStack plans the full cluster structure
AuthorityStack plans a pillar page and 11+ supporting pages, each with a target keyword, intent type, and content outline – the pillar type, supporting page mix, and content angles all specific to the model it chose.
Every page is written, linked, and published
AuthorityStack writes and publishes a full GEO-optimised article for the pillar and every supporting page, resolves the internal link map with anchor text between every page in the cluster, and tracks GEO signals on each page to see which are already appearing in AI Overviews.
Everything included with your content clusters
Included on the Done-For-You plan
Your first content cluster, written and published for you.
Content clusters are included on the Done-For-You plan. AuthorityStack picks the model, plans the pillar and 11+ supporting pages, and writes and publishes every one of them – automatically, every month.